Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …
[HTML][HTML] Artificial intelligence in interventional radiology: Current concepts and future trends
While artificial intelligence (AI) is already well established in diagnostic radiology, it is
beginning to make its mark in interventional radiology. AI has the potential to dramatically …
beginning to make its mark in interventional radiology. AI has the potential to dramatically …
Progressive perception learning for main coronary segmentation in X-ray angiography
Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
Fuzzy logic with deep learning for detection of skin cancer
Featured Application Deep learning-based diagnosis of a suspicious lesion using a simple
handheld device such as smartphone. Awareness and frequency of diagnosis of malignant …
handheld device such as smartphone. Awareness and frequency of diagnosis of malignant …
Evaluation of stenoses using AI video models applied to coronary angiography
The coronary angiogram is the gold standard for evaluating the severity of coronary artery
disease stenoses. Presently, the assessment is conducted visually by cardiologists, a …
disease stenoses. Presently, the assessment is conducted visually by cardiologists, a …
An effective framework for deep-learning-enhanced quantitative microwave imaging and its potential for medical applications
Microwave imaging is emerging as an alternative modality to conventional medical
diagnostics technologies. However, its adoption is hindered by the intrinsic difficulties faced …
diagnostics technologies. However, its adoption is hindered by the intrinsic difficulties faced …
Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …
coronary artery disease with continuous ebullient progress in technology and techniques …
Vision Transformer in stenosis detection of coronary arteries
M Jungiewicz, P Jastrzębski, P Wawryka… - Expert Systems with …, 2023 - Elsevier
About 380 thousand people in the United States die each year because of coronary artery
disease. About 2 in 10 deaths from CAD happen in adults less than 65 years old. Early …
disease. About 2 in 10 deaths from CAD happen in adults less than 65 years old. Early …
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Accurate segmentation of the left ventricle (LV) is crucial for evaluating myocardial perfusion
SPECT (MPS) and assessing LV functions. In this study, a novel method combining deep …
SPECT (MPS) and assessing LV functions. In this study, a novel method combining deep …
Current state and future perspectives of artificial intelligence for automated coronary angiography imaging analysis in patients with ischemic heart disease
Abstract Purpose of Review Artificial intelligence (AI) applications in (interventional)
cardiology continue to emerge. This review summarizes the current state and future …
cardiology continue to emerge. This review summarizes the current state and future …